My Bibliography

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Ghosh R, Renganathan A, McAliley W, Steinbach M, Duffy C, Kumar V. Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction: An application to Hydrology. In: Shekhar S, Papalexakis V, Gao J, Jiang Z, Riondato M, editors. Proceedings of the 2024 SIAM International Conference on Data Mining (SDM) [Internet] Philadelphia, PA: Society for Industrial and Applied Mathematics; 2024-01. 334-342p. Available from: https://epubs.siam.org/doi/10.1137/1.9781611978032.38.

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Chatterjee S, Lindsay K, Chatterjee N, Patil R, Callafon I, Steinbach M, Giron D, Nguyen M, Kumar V. Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. In: Shekhar S, Papalexakis V, Gao J, Jiang Z, Riondato M, editors. Proceedings of the 2024 SIAM International Conference on Data Mining (SDM) [Internet] Philadelphia, PA: Society for Industrial and Applied Mathematics; 2024-01. 589-597p. Available from: https://epubs.siam.org/doi/10.1137/1.9781611978032.68.

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Rahul Ghosh, Arvind Renganathan, Wallace McAliley, Michael Steinbach, Christopher Duffy, Vipin Kumar. Towards Entity-Aware Conditional Variational Inference for Heterogeneous Time-Series Prediction. Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024; 2024; Society for Industrial and Applied Mathematics Publications; c2024.

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Somya Sharma Chatterjee, Kelly Lindsay, Neel Chatterjee, Rohan Patil, Ilkay Altintas De Callafon, Michael Steinbach, Daniel Giron, Mai H. Nguyen, Vipin Kumar. Prescribed Fire Modeling using Knowledge-Guided Machine Learning for Land Management. Proceedings of the 2024 SIAM International Conference on Data Mining, SDM 2024; 2024; Society for Industrial and Applied Mathematics Publications; c2024.

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Yang H, Tourani R, Li J, Caraballo P, Steinbach M, Kumar V, Simon G. Causal Structure Learning from Imperfect Longitudinal Data in Healthcare. 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI). 2023 IEEE 11th International Conference on Healthcare Informatics (ICHI); ; Houston, TX, USA. IEEE; c2023.

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Shaoming Xu, Ankush Khandelwal, Xiang Li, Xiaowei Jia, Licheng Liu, Jared D Willard, Rahul Ghosh, Kelly Lindsay, Michael Steinbach, Christopher Duffy, John Nieber, Vipin Kumar. Mini-Batch Learning Strategies for modeling long term temporal dependencies. 2023 SIAM International Conference on Data Mining, SDM 2023; 2023; Society for Industrial and Applied Mathematics Publications; c2023.

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Willard J, Jia X, Xu S, Steinbach M, Kumar V. Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems. ACM Computing Surveys. 2022 November; 55(4):1-37. doi: 10.1145/3514228.

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Li X, Khandelwal A, Jia X, Cutler K, Ghosh R, Renganathan A, Xu S, Tayal K, Nieber J, Duffy C, Steinbach M, Kumar V. Regionalization in a Global Hydrologic Deep Learning Model: From Physical Descriptors to Random Vectors. Water Resources Research. 2022 August; 58(8):-. doi: 10.1029/2021WR031794.

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Li X, Khandelwal A, Jia X, Cutler K, Ghosh R, Renganathan A, Xu S, Nieber J, Duffy C, Steinbach M, Kumar V. Regionalization in a global hydrologic deep learning model: from physical descriptors to random vectors. [preprint]. 2022 January. doi: 10.1002/essoar.10510083.1.

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Yang H, Tourani R, Zhu Y, Kumar V, Melton G, Steinbach M, Simon G. Strategies for building robust prediction models using data unavailable at prediction time. Journal of the American Medical Informatics Association. 2022 January; 29(1):72-79. doi: 10.1093/jamia/ocab229.

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Yang, Haoyu, Tourani, Roshan, Zhu, Ying, Kumar, Vipin, Melton, Genevieve B, Steinbach, Michael, Simon, Gyorgy. Strategies for building robust prediction models using data unavailable at prediction time. Journal of the American Medical Informatics Association. 2022; 29(1):72--79.

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Yang H, Tourani R, Zhu Y, Kumar V, Melton GB, Steinbach M, Simon G. Strategies for building robust prediction models using data unavailable at prediction time. J Am Med Inform Assoc. 2021 Dec 28;29(1):72-79. doi: 10.1093/jamia/ocab229. PubMed PMID: 34963141; PubMed Central PMCID: PMC8714287.

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Oh W, Steinbach MS, Castro MR, Peterson KA, Kumar V, Caraballo PJ, Simon GJ. A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data. IEEE J Biomed Health Inform. 2021 Jul;25(7):2476-2486. doi: 10.1109/JBHI.2021.3089441. Epub 2021 Jul 27. PubMed PMID: 34129510; PubMed Central PMCID: PMC8388183.

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Gil Y, Garijo D, Khider D, Knoblock C, Ratnakar V, Osorio M, Vargas H, Pham M, Pujara J, Shbita B, Vu B, Chiang Y, Feldman D, Lin Y, Song H, Kumar V, Khandelwal A, Steinbach M, Tayal K, Xu S, Pierce S, Pearson L, Hardesty-Lewis D, Deelman E, Silva R, Mayani R, Kemanian A, Shi Y, Leonard L, Peckham S, Stoica M, Cobourn K, Zhang Z, Duffy C, Shu L. Artificial Intelligence for Modeling Complex Systems: Taming the Complexity of Expert Models to Improve Decision Making. ACM Transactions on Interactive Intelligent Systems. 2021 July; 11(2):1-49. doi: 10.1145/3453172.

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Li J, Simon G, Castro MR, Kumar V, Steinbach MS, Caraballo PJ. Association of BMI, comorbidities and all-cause mortality by using a baseline mortality risk model. PLoS One. 2021;16(7):e0253696. doi: 10.1371/journal.pone.0253696. eCollection 2021. PubMed PMID: 34242241; PubMed Central PMCID: PMC8270162.

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Oh W, Steinbach M, Castro M, Peterson K, Kumar V, Caraballo P, Simon G. A Computational Method for Learning Disease Trajectories From Partially Observable EHR Data. IEEE Journal of Biomedical and Health Informatics. 2021 July; 25(7):2476-2486. doi: 10.1109/JBHI.2021.3089441.

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Jia X, Willard J, Karpatne A, Read J, Zwart J, Steinbach M, Kumar V. Physics-Guided Machine Learning for Scientific Discovery: An Application in Simulating Lake Temperature Profiles. ACM/IMS Transactions on Data Science. 2021 May; 2(3):1-26. doi: 10.1145/3447814.

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Jia X, Zwart J, Sadler J, Appling A, Oliver S, Markstrom S, Willard J, Xu S, Steinbach M, Read J, Kumar V. Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. In: Demeniconi C, Davidson I, editors. Proceedings of the 2021 SIAM International Conference on Data Mining (SDM) [Internet] Philadelphia, PA: Society for Industrial and Applied Mathematics; 2021-01. 612-620p. Available from: https://epubs.siam.org/doi/10.1137/1.9781611976700.69.

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Jia X, Zwart J, Sadler J, Appling A, Oliver S, Markstrom S, Willard J, Xu S, Steinbach M, Read J, Kumar V. Physics-Guided Recurrent Graph Model for Predicting Flow and Temperature in River Networks. In: Demeniconi C, Davidson I, editors. Proceedings of the 2021 SIAM International Conference on Data Mining (SDM) [Internet] Philadelphia, PA: Society for Industrial and Applied Mathematics; 2021-01. 612-620p. Available from: https://epubs.siam.org/doi/10.1137/1.9781611976700.69.

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Xiaowei Jia, Jacob Zwart, Jeffrey Sadler, Alison Appling, Samantha Oliver, Steven Markstrom, Jared Willard, Shaoming Xu, Michael Steinbach, Jordan Read, Vipin Kumar. Physics-guided recurrent graph model for predicting flow and temperature in river networks. SIAM International Conference on Data Mining, SDM 2021; 2021; Siam Society; c2021.

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Jia X, Willard J, Karpatne A, Read J, Zwart J, Steinbach M, Kumar V. Process Guided Deep Learning for Modeling Physical Systems: An Application in Lake Temperature Modeling. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium. IGARSS 2020 - 2020 IEEE International Geoscience and Remote Sensing Symposium; ; Waikoloa, HI, USA. IEEE; c2020.

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Willard J, Jia X, Xu S, Steinbach M, Kumar V. Integrating Scientific Knowledge with Machine Learning: A Survey. arXiv:2003.04919 [physics, stat. 2020 July.

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Ngufor C, Caraballo PJ, O'Byrne TJ, Chen D, Shah ND, Pruinelli L, Steinbach M, Simon G. Development and Validation of a Risk Stratification Model Using Disease Severity Hierarchy for Mortality or Major Cardiovascular Event. JAMA Netw Open. 2020 Jul 1;3(7):e208270. doi: 10.1001/jamanetworkopen.2020.8270. PubMed PMID: 32678448; PubMed Central PMCID: PMC7368174.

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Willard J, Jia X, Xu S, Steinbach M, Kumar V. Integrating Physics-Based Modeling with Machine Learning: A Survey. [revised 2020 July]. 2020 June. Other: arXiv:2003.04919v4.

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Simon GJ, Peterson KA, Castro MR, Steinbach MS, Kumar V, Caraballo PJ. Predicting diabetes clinical outcomes using longitudinal risk factor trajectories. BMC Med Inform Decis Mak. 2020 Jan 8;20(1):6. doi: 10.1186/s12911-019-1009-3. PubMed PMID: 31914992; PubMed Central PMCID: PMC6950847.

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Simon G, Peterson K, Castro M, Steinbach M, Kumar V, Caraballo P. Predicting diabetes clinical outcomes using longitudinal risk factor trajectories. BMC Medical Informatics and Decision Making. 2020 January; 20(1):-. doi: 10.1186/s12911-019-1009-3.

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Jia, Xiaowei, Zwart, Jacob, Sadler, Jeffery, Appling, Alison, Oliver, Samantha, Markstrom, Steven, Willard, Jared, Xu, Shaoming, Steinbach, Michael, Read, Jordan, others. Physics-Guided Recurrent Graph Networks for Predicting Flow and Temperature in River Networks. arXiv preprint arXiv:2009.12575. 2020.

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Jared Willard, Xiaowei Jia, Shaoming Xu, Michael Steinbach, Vipin Kumar. Integrating Scientific Knowledge with Machine Learning for Engineering and Environmental Systems. 2020.

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Khandelwal, Ankush, Xu, Shaoming, Li, Xiang, Jia, Xiaowei, Stienbach, Michael, Duffy, Christopher, Nieber, John, Kumar, Vipin. Physics guided machine learning methods for hydrology. arXiv preprint arXiv:2012.02854. 2020.

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Yadav P, Steinbach M, Castro M, Caraballo P, Kumar V, Simon G. Frequent Causal Pattern Mining: A Computationally Efficient Framework For Estimating Bias-Corrected Effects. 2019 IEEE International Conference on Big Data (Big Data). 2019 IEEE International Conference on Big Data (Big Data); ; Los Angeles, CA, USA. IEEE; c2019.

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Read J, Jia X, Willard J, Appling A, Zwart J, Oliver S, Karpatne A, Hansen G, Hanson P, Watkins W, Steinbach M, Kumar V. Process‐Guided Deep Learning Predictions of Lake Water Temperature. Water Resources Research. 2019 November; 55(11):9173-9190. doi: 10.1029/2019WR024922.

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Read J, Jia X, Willard J, Appling A, Zwart J, Oliver S, Karpatne A, Hansen G, Hanson P, Watkins W, Steinbach M, Kumar V. Process‐Guided Deep Learning Predictions of Lake Water Temperature. Water Resources Research. 2019 November; 55(11):9173-9190. doi: 10.1029/2019WR024922.

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Fang G, Wang W, Paunic V, Heydari H, Costanzo M, Liu X, Liu X, VanderSluis B, Oately B, Steinbach M, Van Ness B, Schadt EE, Pankratz ND, Boone C, Kumar V, Myers CL. Discovering genetic interactions bridging pathways in genome-wide association studies. Nat Commun. 2019 Sep 19;10(1):4274. doi: 10.1038/s41467-019-12131-7. PubMed PMID: 31537791; PubMed Central PMCID: PMC6753138.

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Fang G, Wang W, Paunic V, Heydari H, Costanzo M, Liu X, Liu X, VanderSluis B, Oately B, Steinbach M, Van Ness B, Schadt E, Pankratz N, Boone C, Kumar V, Myers C. Discovering genetic interactions bridging pathways in genome-wide association studies. Nature Communications. 2019 September; 10(1):-. doi: 10.1038/s41467-019-12131-7.

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Oh W, Steinbach MS, Castro MR, Peterson KA, Kumar V, Caraballo PJ, Simona GJ. Evaluating the Impact of Data Representation on EHR-Based Analytic Tasks. Stud Health Technol Inform. 2019 Aug 21;264:288-292. doi: 10.3233/SHTI190229. PubMed PMID: 31437931; PubMed Central PMCID: PMC7666864.

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Jia X, Willard J, Karpatne A, Read J, Zwart J, Steinbach M, Kumar V. Physics Guided RNNs for Modeling Dynamical Systems: A Case Study in Simulating Lake Temperature Profiles. In: Berger-Wolf T, Chawla N, editors. Proceedings of the 2019 SIAM International Conference on Data Mining [Internet] Philadelphia, PA: Society for Industrial and Applied Mathematics; 2019-05. 558-566p. Available from: https://epubs.siam.org/doi/10.1137/1.9781611975673.63.

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Johnson SG, Pruinelli L, Hoff A, Kumar V, Simon GJ, Steinbach M, Westra BL. A Framework for Visualizing Data Quality for Predictive Models and Clinical Quality Measures. AMIA Jt Summits Transl Sci Proc. 2019;2019:630-638. eCollection 2019. PubMed PMID: 31259018; PubMed Central PMCID: PMC6568139.

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Jacob S, Wolff JJ, Steinbach MS, Doyle CB, Kumar V, Elison JT. Neurodevelopmental heterogeneity and computational approaches for understanding autism. Transl Psychiatry. 2019 Feb 4;9(1):63. doi: 10.1038/s41398-019-0390-0. Review. PubMed PMID: 30718453; PubMed Central PMCID: PMC6362076.

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Jacob S, Wolff J, Steinbach M, Doyle C, Kumar V, Elison J. Neurodevelopmental heterogeneity and computational approaches for understanding autism. Translational Psychiatry. 2019 February; 9(1):-. doi: 10.1038/s41398-019-0390-0.

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Tan, Pang-Ning, Steinbach, Michael, Kumar, Vipin. Introduction to data mining Pearson Education, Inc.; 2019.

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Tan, Pang-Ning, Steinbach, Michael, Karpatne, Anuj, Kumar, Vipin. Introduction to Data Mining, second edition. In: Introduction to data mining Pearson Education, Inc.; 2019.

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Agrawal, Saurabh, Steinbach, Michael, Boley, Daniel, Chatterjee, Snigdhansu, Atluri, Gowtham, Dang, Anh The, Liess, Stefan, Kumar, Vipin. Mining novel multivariate relationships in time series data using correlation networks. IEEE Transactions on Knowledge and Data Engineering. 2019; 32(9):1798--1811.

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Agrawal S, Steinbach M, Boley D, Chatterjee S, Atluri G, The Dang A, Liess S, Kumar V. Mining Novel Multivariate Relationships in Time Series Data Using Correlation Networks. IEEE Transactions on Knowledge and Data Engineering. 2019; :1-1. doi: 10.1109/TKDE.2019.2911681.

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Li J, Wang M, Steinbach M, Kumar V, Simon G. Don't Do Imputation: Dealing with Informative Missing Values in EHR Data Analysis. 2018 IEEE International Conference on Big Knowledge (ICBK). 2018 IEEE International Conference on Big Knowledge (ICBK); ; Singapore. IEEE; c2018.

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Pruinelli L, Westra BL, Yadav P, Hoff A, Steinbach M, Kumar V, Delaney CW, Simon G. Delay Within the 3-Hour Surviving Sepsis Campaign Guideline on Mortality for Patients With Severe Sepsis and Septic Shock. Crit Care Med. 2018 Apr;46(4):500-505. doi: 10.1097/CCM.0000000000002949. PubMed PMID: 29298189; PubMed Central PMCID: PMC5851815.

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Yadav P, Steinbach M, Kumar V, Simon G. Mining Electronic Health Records (EHRs). ACM Computing Surveys. 2018 January; 50(6):1-40. doi: 10.1145/3127881.

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Westra B, Landman S, Yadav P, Steinbach M. Secondary Analysis of an Electronic Surveillance System Combined with Multi-focal Interventions for Early Detection of Sepsis. Applied Clinical Informatics. 2017 December; 26(01):47-66. doi: 10.4338/ACI-2016-07-RA-0112.

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Karpatne A, Atluri G, Faghmous J, Steinbach M, Banerjee A, Ganguly A, Shekhar S, Samatova N, Kumar V. Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data. IEEE Transactions on Knowledge and Data Engineering. 2017 October; 29(10):2318-2331. doi: 10.1109/TKDE.2017.2720168.

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Karpatne A, Atluri G, Faghmous J, Steinbach M, Banerjee A, Ganguly A, Shekhar S, Samatova N, Kumar V. Theory-Guided Data Science: A New Paradigm for Scientific Discovery from Data. IEEE Transactions on Knowledge and Data Engineering. 2017 October; 29(10):2318-2331. doi: 10.1109/TKDE.2017.2720168.

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Oh W, Yadav P, Kumar V, Caraballo PJ, Castro MR, Steinbach MS, Simon GJ. Estimating Disease Onset Time by Modeling Lab Result Trajectories via Bayes Networks. Proc (IEEE Int Conf Healthc Inform). 2017 Aug;2017:374-379. doi: 10.1109/ICHI.2017.41. Epub 2017 Sep 14. PubMed PMID: 29862384; PubMed Central PMCID: PMC5975351.